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Record W2594820496 · doi:10.7202/1038902ar

La presse canadienne francophone et les événements du « 11 septembre » : une analyse des textes médiatiques par Sphinx et Hyperbase

2017· article· fr· W2594820496 on OpenAlexaffvenueabout
Chantal Richard, Sylvia Kasparian, James de Finney

Bibliographic record

VenueRevue de l’Université de Moncton · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesFrenchArt

Abstract

fetched live from OpenAlex

Comment les journaux francophones du Canada ont-ils traité des événements tragiques du 11 septembre 2001? Ce drame a provoqué un grand besoin de compréhension de la part de la population canadienne. Devant l’ampleur de l’événement, les médias canadiens ont réagi et proposé plusieurs articles informatifs et analytiques autour de cet événement tragique qui a bouleversé le monde entier. À partir d’un corpus constitué de 158 textes, tirés de six journaux qui représentent les principales régions francophones du Canada, Le Devoir, Le Soleil, La Presse, L’Acadie Nouvelle, Le Droit, La Liberté et représentant la totalité des textes qui font mention de l’expression « 11 septembre » dans les articles publiés entre le 11 septembre 2001 et le 12 septembre 2002, nous avons essayé de décrire par une analyse lexicale et thématique, grâce à des outils informatisés d’ADT, les représentations ainsi véhiculées dans la presse francophone au Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0040.005
Scholarly communication0.0070.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.238
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueRevue de l’Université de Moncton→Same topicLinguistics and Discourse Analysis→French-language works237,207→